Construir un modelo predictivo del glaucoma a partir de los datos de la tomografía de coherencia óptica mediante técnicas de aprendizaje automático.
Estudio transversal comparativo.
Número total de ojos: 2137
Sanos Enfermos
Ojos izquierdos 833 237
Ojos derechos 833 234
Se ha comprobado que el grosor de los anillos depende linealmente de la edad y del área del anillo BMO, por lo que se ha optado por estandarizar los datos aplicando la siguiente transformación:
\[z_i=(x_i-\bar x-b_{xe}(e_i-\bar e)-b_{xa}(a_i-\bar a))/s_x\] donde:
Glaucoma n mean sd median min max skew kurtosis
Age1 N 1666 47.81 18.99 50.1 8.4 89.7 -0.1925 -0.9338
Age2 Y 471 67.13 13.55 68.7 22.2 95.5 -0.5367 -0.1249
Glaucoma*1 N 1666 1.00 0.00 1.0 1.0 1.0 NaN NaN
Glaucoma*2 Y 471 2.00 0.00 2.0 2.0 2.0 NaN NaN
Glaucoma n mean sd median min max skew
FoBMO.Angle1 N 833 -7.429 3.4839 -7.430 -27.170 4.040 -0.2773
FoBMO.Angle2 Y 237 -9.412 4.5773 -9.130 -29.640 14.390 -0.0431
Displacement1 N 833 39.353 34.3782 31.000 0.000 295.000 2.9968
Displacement2 Y 237 47.937 40.6091 35.000 2.000 287.000 2.1681
BMO.Area1 N 833 1.989 0.4097 1.936 0.914 4.280 0.9979
BMO.Area2 Y 237 1.965 0.4493 1.922 0.530 3.448 0.4789
kurtosis
FoBMO.Angle1 0.9855
FoBMO.Angle2 4.0947
Displacement1 13.4120
Displacement2 6.7564
BMO.Area1 2.3279
BMO.Area2 1.1021
Glaucoma n mean sd median min max skew
FoBMO.Angle1 N 833 -5.726 3.5781 -5.810 -20.800 6.050 -0.2556
FoBMO.Angle2 Y 234 -6.065 4.1420 -5.860 -20.220 4.880 -0.2092
Displacement1 N 833 37.886 32.3289 29.000 1.000 268.000 2.6126
Displacement2 Y 234 44.492 42.8105 33.000 3.000 351.000 3.4252
BMO.Area1 N 833 1.981 0.3962 1.929 1.083 3.901 0.7442
BMO.Area2 Y 234 1.944 0.4389 1.903 0.783 3.674 0.6524
kurtosis
FoBMO.Angle1 0.9138
FoBMO.Angle2 -0.0368
Displacement1 10.4143
Displacement2 17.8199
BMO.Area1 0.8769
BMO.Area2 1.1772
Glaucoma n mean sd median min max skew kurtosis
BMO.G1 N 832 0.3140 1.0758 0.1982 -3.817 4.515 0.4421 1.1356
BMO.G2 Y 236 -1.6251 1.2661 -1.7289 -4.585 1.903 0.1825 0.0795
BMO.NS1 N 833 0.4154 1.0768 0.4037 -3.516 4.570 0.1959 0.2420
BMO.NS2 Y 237 -1.3759 1.1492 -1.4833 -4.216 1.586 0.2244 -0.0936
BMO.N1 N 833 0.2373 1.0354 0.1756 -3.887 3.998 0.0488 0.7099
BMO.N2 Y 237 -1.4673 1.2662 -1.5418 -4.486 2.263 0.3015 0.0586
BMO.NI1 N 833 0.1305 0.9832 0.1014 -4.457 3.901 0.1552 0.7792
BMO.NI2 Y 237 -1.4175 1.2779 -1.4855 -4.657 2.070 0.1683 -0.2336
BMO.TI1 N 832 0.1857 1.0395 0.1232 -4.459 4.227 0.4915 1.2290
BMO.TI2 Y 236 -1.6211 1.4480 -1.5149 -4.870 2.226 0.0934 -0.2254
BMO.T1 N 833 0.3566 1.2028 0.2438 -3.312 6.747 0.9824 2.7562
BMO.T2 Y 236 -1.1100 1.1903 -1.1416 -4.055 2.123 0.0820 -0.0182
BMO.TS1 N 833 0.3274 1.1313 0.2193 -4.075 5.422 0.6001 1.7096
BMO.TS2 Y 237 -1.5549 1.2510 -1.5565 -4.788 1.764 0.0463 -0.2067
Glaucoma n mean sd median min max skew kurtosis
BMO.G1 N 832 0.3417 1.055 0.2637 -2.250 4.196 0.5858 0.8661
BMO.G2 Y 234 -1.6320 1.235 -1.8457 -5.116 1.293 0.2345 -0.2403
BMO.NS1 N 833 0.2561 1.025 0.2180 -2.183 4.108 0.4243 0.2021
BMO.NS2 Y 234 -1.4169 1.157 -1.5718 -4.031 1.763 0.2932 -0.3230
BMO.N1 N 832 0.3257 1.015 0.3105 -3.225 4.104 0.1215 0.4173
BMO.N2 Y 234 -1.3950 1.187 -1.5658 -4.578 1.766 0.3595 -0.1372
BMO.NI1 N 833 0.2012 1.010 0.1668 -3.292 4.070 0.2474 0.1814
BMO.NI2 Y 234 -1.4999 1.240 -1.6032 -4.457 2.172 0.3366 0.0048
BMO.TI1 N 833 0.2466 1.064 0.1342 -2.861 4.627 0.6316 0.9996
BMO.TI2 Y 234 -1.7749 1.424 -1.7806 -5.333 2.178 -0.0210 -0.1333
BMO.T1 N 833 0.3988 1.200 0.2804 -2.608 6.702 0.9272 2.0767
BMO.T2 Y 234 -1.1678 1.228 -1.1727 -4.983 2.287 -0.0766 0.1623
BMO.TS1 N 833 0.2571 1.090 0.1590 -2.556 4.323 0.7597 0.9641
BMO.TS2 Y 234 -1.4465 1.254 -1.4589 -4.787 2.422 0.1013 0.1137